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WMTrace : a lightweight memory allocation tracker and analysis framework
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Perks, O. F. J., Hammond, Simon D., Pennycook, Simon J. and Jarvis, Stephen A. (2011) WMTrace : a lightweight memory allocation tracker and analysis framework. In: UK Performance Engineering Workshop (UKPEW'11), Bradford, United Kingdom, 7-8 July 2011 (Unpublished)
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Official URL: http://www.inf.brad.ac.uk/ukpew11/index.php
Abstract
The diverging gap between processor and memory performance has been a well discussed aspect of computer architecture literature for some years. The use of multi-core processor designs has, however, brought new problems to the design of memory architectures - increased core density without matched improvement in memory capacity is reduc- ing the available memory per parallel process. Multiple cores accessing memory simultaneously degrades performance as a result of resource con- tention for memory channels and physical DIMMs. These issues combine to ensure that memory remains an on-going challenge in the design of parallel algorithms which scale. In this paper we present WMTrace, a lightweight tool to trace and analyse memory allocation events in parallel applications. This tool is able to dynamically link to pre-existing application binaries requiring no source code modification or recompilation. A post-execution analysis stage enables in-depth analysis of traces to be performed allowing memory allocations to be analysed by time, size or function. The second half of this paper features a case study in which we apply WMTrace to five parallel scientific applications and benchmarks, demonstrating its effectiveness at recording high-water mark memory consumption as well as memory use per-function over time. An in-depth analysis is provided for an unstructured mesh benchmark which reveals significant memory allocation imbalance across its participating processes.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Memory management (Computer science), Multiprocessors, Parallel processing (Electronic computers) | ||||
Official Date: | July 2011 | ||||
Dates: |
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Status: | Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
Funder: | Science Research Investment Fund (SRIF) | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | UK Performance Engineering Workshop (UKPEW'11) | ||||
Type of Event: | Workshop | ||||
Location of Event: | Bradford, United Kingdom | ||||
Date(s) of Event: | 7-8 July 2011 |
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